Study examines the role of financial literacy and financial self-efficacy of individuals in explaining their behavior to have financial accounts. Study has used the questionnaire based survey and collected the data responses from 564 adults belonging to Sahiwal division. The binary logistic regression model is utilized to estimate the probability of having financial accounts in relation to individual’s financial literacy and financial self-efficacy level. Estimated results show that individual’s financially literacy level is positively related with individual’s account ownership model among the selected group. While individual’s financial self-efficacy level does not explain any positive significant impact on individual’s account ownership model. Other socio-demographic variables like gender, marital status, education, occupation, and income level are also found to have influential impact on the individuals’ account ownership behavior in Pakistan. Study recommends that financial literacy is pertinent to have equitable financial inclusion in the economy.

Logistics performance is an important determinant of economic growth. The present study investigates the moderating role of logistics performance of the logistic infrastructure on economic growth in developing countries. We employ the World Bank computed LPI index in the year 2010, 2012, 2014, 2016 and 2018 to measure the logistic performance. The current research includes the 50 developing economies, and a panel data set comprising of total 300 observations is collected. The study used the conventional Cobb–Douglas production function with labor, capital stock as main drivers of economic growth. The study found that the labor and capital endowments have significantly different impacts in terms of elasticity coefficients for developing countries with different logistics performance levels. It implies that logistics performance, i.e., the efficient performance of logistic infrastructure, plays a moderator role in economic growth in developing economies.

The study aims to analyze the impact of China–Pakistan Economic Corridor (CPEC) logistics-related developments on economic growth in Pakistan. The study defined a Cobb–Douglas type of research framework in which the country’s real income level relates to four factor inputs, e.g., employed labor force, logistics development, financial development, and energy consumption in an economy. The study utilized the time series data set for the period 1972–2018. To estimate the long run relationship and short run adjustment mechanism, the study used Johansen’s method of co-integration and error correction model. Estimated results showed that the country’s logistics developments have a significant positive impact on economic growth in both the long run and the short run. It implies that China–Pakistan collaborative efforts for logistics developments will have a strong positive impact on economic growth in Pakistan.

The present study aims to investigate the impact of tourism on the economic growth of the South Asian region. By employing panel data of six South Asian economies spanning from 1998 to 2017, our empirical investigation relies upon the panel cointegration and Fully Modified Ordinary Least Squares (FMOLS) techniques. Consistent with the “Tourism Led Growth Hypothesis”, the results prove a significant positive and long-run association between tourism and economic growth. The novelty of our study is the presentation of two models which confirm that tourism is an independent accelerator of economic growth, and it performs the same role even in the presence of standard income determinants. These findings are robust when we apply alternate statistical techniques, such as, dynamic ordinary least square method and Granger Causality Test. It implies that the South Asian economies should focus on the development of the tourism sector with permanent development in public infrastructures, like public transport, airports, road system and telecommunication to surge their economic growth.

Purpose: China–Pakistan Economic Corridor (CPEC) is a framework of regional connectivity in which employees have to work in a cross-cultural environment. This study has extended the leader-member exchange theory by investigating the mediating role of employee commitment (EC) between the relationship of leader-member exchange (LMX) and employee's work-related behaviors.Design/methodology/approach: PLS-SEM technique was used to test the model by utilizing a multi-wave/two-source data collected from employees and their supervisors (n = 500) working in different energy projects of CPEC.Findings: According to the results/findings, LMX has a significant positive impact on employee commitment, employee performance (EP) and open-minded discussions, but insignificant impact on innovative work behaviour (IWB). Mediating role of employee commitment was significant between the relationship of LMX with EP and open-minded discussions, but insignificant with the IWB.Originality/value: The study contributes empirical evidence to understanding the leader-member exchange relationship among Chinese managers and Pakistani workers. It also contributes to the LMX theory literature by investigating the effect of LMX on followers' outcomes (employee performance, IWB, open-minded discussions) through employee commitment.